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backend ai rag evaluation llm📋 Description
- Own AI experiments end-to-end: hypothesis, build, ship, measure, iterate
- Productize ML prototypes with ML Engineering; lead readiness criteria
- Design agent action schemas and tool contracts for predictable behavior
- Build retrieval systems (RAG) for agent context: chunking, vector search
- Build orchestration for agent workflows: stateful sessions, async coordination
- Build evaluation loops with deterministic validation and heuristics
🎯 Requirements
- 7+ years shipping production software, incl AI/LLM features
- Experience building AI agent systems: tool use, context management, orchestration
- Experience designing/operating RAG systems with vector DB pipelines
- Experience defining evaluation systems for non-deterministic AI outputs
- Strong backend systems skills: stateful services and real-time/streaming workflows
- Experience managing AI costs in production (model selection, budgeting, caching)
🎁 Benefits
- Remote-first culture with flexible hours
- Competitive salaries with equity
- Medical, dental, vision coverage
- Unlimited PTO and parental leave
- 401K and disability plans
- Home office stipend for remote work
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